ICU sedation, delirium & recovery

Early prediction of delirium upon intensive care unit admission: Model development, validation, and deployment

J Clin AnesthPublished Retrospective cohort study

Authors' conclusion

Our early prediction models based on data obtained upon ICU admission could achieve good performance in predicting delirium occurred within 48 h after ICU admission. Our 24-h models can improve delirium prediction for patients discharged >1 day after ICU admission.

Study context

Population
Critically ill adults, single university teaching hospital, Taipei, Taiwan, August 2020 to August 2021
Participants
6,238 adults
Exposure
Logistic regression (LR) vs gradient boosted trees (GBT) vs deep learning (DL) models predicting delirium at intensive care unit (ICU) admission and at 24 h
Outcome
Model performance for predicting delirium
Methodological detailssingle-centre, model development and validation, temporal split training/testing
  • Single-centre
  • Model development and validation
  • Temporal split training/testing

Main finding

As reported in the abstract

GroupAUROC (highest of admission (ADM) models)Area under the precision-recall curve (AUPRC) (highest of ADM models)Brier scoreAUROC (highest of 24H models)AUPRC (highest of 24H models)
ADM GBT0.858, 95% CI 0.835-0.8790.814, 95% CI 0.780-0.8440.140
ADM LR0.149
ADM DL0.145
24H DL0.931, 95% CI 0.911-0.949
24H LR0.842, 95% CI 0.792-0.886

AUROC (highest of admission (ADM) models)

ADM GBT0.858, 95% CI 0.835-0.879
ADM LR— not stated in the abstract
ADM DL— not stated in the abstract
24H DL— not stated in the abstract
24H LR— not stated in the abstract

Area under the precision-recall curve (AUPRC) (highest of ADM models)

ADM GBT0.814, 95% CI 0.780-0.844
ADM LR— not stated in the abstract
ADM DL— not stated in the abstract
24H DL— not stated in the abstract
24H LR— not stated in the abstract

Brier score

ADM GBT0.140
ADM LR0.149
ADM DL0.145
24H DL— not stated in the abstract
24H LR— not stated in the abstract

AUROC (highest of 24H models)

ADM GBT— not stated in the abstract
ADM LR— not stated in the abstract
ADM DL— not stated in the abstract
24H DL0.931, 95% CI 0.911-0.949
24H LR— not stated in the abstract

AUPRC (highest of 24H models)

ADM GBT— not stated in the abstract
ADM LR— not stated in the abstract
ADM DL— not stated in the abstract
24H DL— not stated in the abstract
24H LR0.842, 95% CI 0.792-0.886

Observational data: associations, not effects.

Further findings

Incidence of ICU delirium, ADM testing dataset

Within 24 h
32.9%
Within 48 h
36.2%

Features of ADM models

Features: age, BMI, dementia history, postoperative intensive monitoring, elective surgery, pre-ICU hospital stay, GCS score and initial respiratory rate at ICU admission
8

Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.

Original publication

Early prediction of delirium upon intensive care unit admission: Model development, validation, and deployment. J Clin Anesth. Published 12 April 2023. doi:10.1016/j.jclinane.2023.111121

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.